Understanding diseases requires identifying the differences between healthy and affected
tissues. Gene expression data have revolutionized the study of diseases by making it …

All the information to make a complete, fully functional living organism is encoded within the
genome of the fertilized oocyte. How is this genetic code translated into the vast array of …

Large‐scale protein signalling networks are useful for exploring complex biochemical
pathways but do not reveal how pathways respond to specific stimuli. Such specificity is …

The double-strand break (DSB) is a cytotoxic DNA lesion caused by oxygen radicals,
ionizing radiation, and radiomimetic chemicals. Cells cope with DNA damage by activating …

Background Genome scale data on protein interactions are generally represented as large
networks, or graphs, where hundreds or thousands of proteins are linked to one another …

Substantial effort in recent years has been devoted to constructing and analyzing large-
scale gene and protein networks on the basis of “omic” data and literature mining. These …

Predictive understanding of cell signaling network operation based on general prior
knowledge but consistent with empirical data in a specific environmental context is a current …

A key challenge for systems neuroscience is the question of how to understand the complex
network organization of the brain on the basis of neuroimaging data. Similar challenges …

Thiol-based redox post-translational modifications have emerged as important mechanisms
of signaling and regulation in all organisms, and thioredoxin plays a key role by controlling …

Systematic study of cell signaling networks increasingly involves high throughput
proteomics, transcriptional profiling, and automated literature mining with the aim of …